Previous Job
Previous
Sr. Engineer, Prompt Engineering
Ref No.: 25-01100
Location: Atlanta, Georgia
Position Type:Contract
Role name: Sr. Engineer, Prompt Engineering
Location can be Atlanta, Bellevue, WA or Dallas TX

Contract Role

Role and responsibilities:
• 5+ years of experience in AI/ML and Data Scientist roles.
• Extensive experience with Azure cloud platforms and Databricks.
• Extensive experience in Python, PySaprk
• Extensive experience in building Generative AI applications using LLMs like Open AI, Gemini, etc
• Extensive experience in Prompt Engineering
• Experience with ML Frameworks
• Strong understanding of statistical modeling, NLP, and deep learning.
• Excellent problem-solving and communication skills.
• Good Experience in MLOps and model lifecycle management.
• Version control (Git) and CI/CD pipelines.
Create, test, and refine prompts for various use cases (chatbots, content generation, summarization, reasoning, code generation).
• Apply systematic prompt-engineering techniques such as few-shot learning, chain-of-thought, and instruction-tuning.
• Build reusable prompt libraries and templates.
• Define evaluation metrics for prompt quality (accuracy, relevance, safety, tone).
• Conduct A/B testing and iterative improvement based on results.
• Monitor prompt performance in production to detect degradation or bias.
• Collaborate with developers to integrate prompts into applications, APIs, and pipelines.
• Build tools to automate testing, scoring, and deployment of prompt configurations.
• Work with MLOps/LLMOps teams to ensure version control and traceability.
• Stay up-to-date with advancements in LLMs, prompt strategies, and retrieval-augmented generation (RAG).
• Experiment with new techniques (e.g., function calling, context window optimization, multi-step reasoning).
• Contribute to internal knowledge sharing and best-practice guidelines.
• Ensure prompts meet privacy, compliance, and ethical AI standards.
• Proactively identify and mitigate risks like bias, hallucinations, or unsafe outputs.
• Partner with cross-functional teams (AI researchers, UX, product managers) to align on requirements.
• Mentor junior engineers on prompt-engineering methodologies and safe AI practices.